Jane Hoffswell

809 citations
31 papers · 500 · h-index 10

Impact in

Papers in

Jane Hoffswell

26 papers receiving 487 citations

Peers

Jane Hoffswell
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 316
  • Human-Computer Interaction 75
  • Information Systems and Management 57
  • Applied Psychology 29
  • Software 23
Replace John Wenskovitch with:
John Wenskovitch United States
Olga Kulyk Netherlands
Bahador Saket United States
Marian F. Ursu United Kingdom
Heidi Lam Canada
Sampsa Rauti Finland
Linda Di Geronimo Switzerland
Carrie Gates United States
Ryan Lowe Canada
Laura Tarantino Italy
Jane Hoffswell relative to John Wenskovitch United States John Wenskovitch's profile →
Citations per field
00.5×7.3×
John Wenskovitch · 1×
Citations per year

Countries citing papers authored by Jane Hoffswell

Since Specialization
Citations

This map shows the geographic impact of Jane Hoffswell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jane Hoffswell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Hoffswell more than expected).

Fields of papers citing papers by Jane Hoffswell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane Hoffswell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jane Hoffswell. The network helps show where Jane Hoffswell may publish in the future.

Co-authors

The 25 scholars most cited alongside Jane Hoffswell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jane Hoffswell Line = papers co-authored together Jane Hoffswell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015192
2 201792
3 201842
4 202039
5 201621
6 201818
7 202214
8 202213
9 202312
10 202210
11 20228
12 20227
13 20196
14 20235
15 20253
16 20243
17 20233
18 20252
19 20232
20 20242

About Jane Hoffswell

Jane Hoffswell is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Human-Computer Interaction and Information Systems and Management, having authored 31 papers that have together received 500 indexed citations. Recurring topics across this work include Data Visualization and Analytics (21 papers), Video Analysis and Summarization (7 papers), Data Management and Algorithms (4 papers), Scientific Computing and Data Management (4 papers), Data Quality and Management (3 papers), Software Engineering Research (3 papers), Innovative Human-Technology Interaction (3 papers) and Design Education and Practice (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Human-Computer Interaction (75 citations), Information Systems and Management (57 citations), Applied Psychology (29 citations) and Software (23 citations). Jane Hoffswell has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Jeffrey Heer, Arvind Satyanarayan, Ryan P. Russell, Zhicheng Liu, Jasmine Zia, Chia-Fang Chung, James Fogarty, Sean A. Munson, Jessica Schroeder and Wilmot Li. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Eurographics, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and CHI Conference on Human Factors in Computing Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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